missex#

Purpose#

Converts numeric values to the missing value code according to the values given in a logical expression.

Format#

y = missex(x, mask)#

Parameters:

x (NxK matrix) – data
mask (NxK logical matrix) – (matrix of 0’s and 1’s) that serves as a “mask” for x; the 1’s in mask correspond to the values in x that are to be converted into missing values

Returns:

y (NxK matrix that equals x) – but with those elements that correspond to the 1’s in e converted to missing.

Examples#

Replace negative prices with a missing value#

prices = { 1.25,
           0.75,
           2.25,
          -1.50,
           2.05 };

// replace elements below zero
// with a missing value
prices = missex(prices, prices .< 0);

Replace

x = { 0.525 0.419,
      0.869 0.973,
      0.021 0.357 };

// Logical expression
mask = (x .> .30) .and (x .< .60);
y = missex(x, mask);

After the code above:

       1  1           .      .
mask = 0  0   y = 0.869  0.973
       0  1       0.021      .

A 3x2 matrix of uniform random numbers is created. All values in the interval (0.30, 0.60) are converted to missing.

Remarks#

The matrix e will usually be created by a logical expression. For instance, to convert all numbers between 10 and 15 in x to missing, the following code could be used:

y = missex(x, (x .> 10) .and (x .< 15));

Note that “dot” operators MUST be used in constructing the logical expressions.

For complex matrices, the missing value code is defined as a missing value entry in the real part of the matrix. For complex x, then, missex() replaces elements with a “. + 0i” value.

This function is like miss(), but is more general in that a range of values can be converted into missings.

Source#

datatran.src